Three Secrets to Creating a Successful Predictive Enterprise

Companies are increasingly looking to predictive analytics and machine learning to manage risk, detect fraud, maximize customer value and reduce operational costs. These data-driven decision-making initiatives are compelling companies to move beyond their initial analytics efforts to become predictive enterprises that apply predictive analytics both broadly and deeply. New technologies and new approaches are allowing companies to rapidly and effectively turn their data into more profitable and effective decisions.

Wednesday, January 23, 2019 7:00:00 PM PST – 8:00:00 PM PST

DecisionsFirst Modeler Integration for IBM ODM

Watch the demonstration of the integration capability of DecisionsFirst Modeler Enterprise Edition with IBM Operational Decision Manager (ODM). DecisionsFirst Modeler enables organizations to accurately specify their business using decision requirements models; structure and manage the supporting business rules; and streamline business process design. The Enterprise Edition integration with IBM ODM delivers traceability from business objectives through […]

DecisionsFirst Modeler Integration for RedHat JBoss BRMS

Watch the demonstration the integration of DecisionsFirst Modeler Enterprise Edition with RedHat JBoss BRMS. DecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides a diagram-based, business user friendly front-end to the business rules environment. The newly available DecisionsFirst Modeler Enterprise Edition Integration with JBoss BRMS: […]

Framing Analytic Requirements with Decision Modeling

One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT, and analytics teams. A decision requirements model makes it clear how to best leverage analytics.

How to Succeed with Advanced Analytics at Scale

Leading organizations today are looking to scale their advanced analytics capabilities, especially data mining and predictive analytics, to improve business performance, reduce fraud and improve customer responsiveness. However traditional analytic project approaches are hard to scale and difficult to implement in the real-time environment required in modern enterprise architectures. Learn best practices from leading organizations […]

Predictive Analytics Deployment to Mainframe or Hadoop

Learn how to achieve a standards-based, efficient approach to analytics deployment from open source like R and commercial analytics products to a wide range of platforms including mainframes like IBM zSystems and new data infrastructure like Hadoop. The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting […]

How to Innovate Risk Management and Customer Centricity

Operational decision making is not optimized in the majority of organizations because it is buried in business processes and information systems. This matters because business processes are ultimately what deliver value to the business. More and more of this value creation is associated with decisions and approvals. This trend is accelerating as more processes are […]